Forward Deployed Engineer – Principal

Broadcom

. Serve as an elite technical authority, enterprise strategist, and field-to-engineering leader across the Infrastructure Software Division .

Posted 10/6/2026full-timeRemote • United StatesLead💰 $132,200 - $211,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in architecting and deploying high-throughput AI inferencing pipelines and distributed systems on Kubernetes, with a strong focus on production-grade environments and cloud-native migrations. Proven ability to engage with C-suite stakeholders while leading technical teams and mentoring senior engineers.

Highest-signal resume keywords

Kubernetes ArchitectureAI Inferencing PipelinesCustom Resource Definitions (CRDs)GitOps ArchitectureCloud-Native Migrations

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringGo ProgrammingPython ProgrammingJava ProgrammingKubernetes OperatorsDistributed SystemsAI PlatformsHigh-Throughput WorkloadsProduction Code DevelopmentStateful Workload Migrations

Soft Skills

Technical CredibilityMentoringStakeholder EngagementCross-Functional CollaborationProblem Solving

Tools & Technologies

OpenShiftEKSGKEAKSArgoCDFluxNVIDIA vGPUMIGGPUDirect RDMATriton

Industry Keywords

Infrastructure SoftwareEnterprise AccountsProduction SystemsReal-Time LLM InferencingCloud-NativeZero-DowntimeVirtualized GPU EnvironmentsDeployment StandardsCAPIOperator Patterns

Tech Stack

Tools & technologies

CloudDistributed SystemsFluxJavaKubernetesOpenShiftPythonGo

About the role

Key responsibilities & impact

Serve as an elite technical authority, enterprise strategist, and field-to-engineering leader across the Infrastructure Software Division
Embed with major enterprise accounts during platform modernizations, bare-metal replatforming, stateful workload migrations, and AI inferencing deployments
Bridge core engineering, product management, executive leadership, and C-level enterprise customer architects
Architect, scale, and validate production-grade VKS and VCF topologies for mission-critical and regulated deployments
Design and deploy production systems for real-time LLM inferencing, RAG pipelines, and distributed AI runtime frameworks across GPU clusters
Lead end-to-end migration strategies from legacy bare-metal systems and AI workloads to cloud-native Kubernetes targets
Engineer prototype integrations, write production operators/CRDs, and upstream contributions into core ISG codebases
Translate customer pain points and field patterns into product requirements and roadmap priorities
Establish technical patterns for containerizing, tuning, and orchestrating distributed systems, data platforms, and AI engines
Define cross-platform integration strategies across competing enterprise distributions
Establish deployment standards, GitOps frameworks, and CAPI/Operator patterns across the FDE organization
Mentor Senior and Staff FDEs

Requirements

What you’ll need

10+ years of software engineering experience with 5+ years driving high consequence infrastructure, distributed systems, AI platforms, or Kubernetes architectures at scale
Proven ability to command technical credibility with C-suite stakeholders while remaining deeply hands-on in production code
Authority-level mastery of Kubernetes internal mechanics, Custom Resource Definitions (CRDs), Kubernetes Operators, Cluster API (CAPI), and GitOps architecture (ArgoCD, Flux)
Extensive experience architecting high-throughput AI inferencing pipelines, virtualized GPU environments (NVIDIA vGPU, MIG, GPUDirect RDMA), model serving frameworks (vLLM, TGI, Triton), and distributed inference topologies
Proven track record architecting and running high-throughput, low-latency stateful workloads on Kubernetes
Deep experience migrating complex enterprise monoliths, mainframe/bare metal environments, and siloed AI hardware deployments to zero-downtime cloud-native pathways
Hands-on experience developing in Go, Python, or Java for systems-level infrastructure, Kubernetes controllers, custom AI wrappers, or automation frameworks
Comprehensive technical fluency across OpenShift, EKS, GKE, AKS, Rancher RKE/RKS, CSI/CNI, RDMA, InfiniBand, RoCEv2, and storage abstractions
Bachelor's degree preferred; relevant years' experience in lieu of a degree may be considered
17+ years related experience required

Benefits

Comp & perks

Discretionary annual bonus
Competitive new hire equity grant
Annual equity awards
Medical plans
Dental plans
Vision plans
401(K) participation including company matching
Employee Stock Purchase Program (ESPP)
Employee Assistance Program (EAP)
Company paid holidays
Paid sick leave
Vacation time
Paid Family Leave and other leaves of absence according to applicable laws